A skill your agent uses when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response…

MITAuto-check passed

Install Sosp Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-review-process -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sosp-review-process --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SOSP-Skills/skills/sosp-review-process .claude/skills/sosp-review-process && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sosp-review-process
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
561 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response…

  • Works in 3 steps: A rejected paper with one strong… → Reviews written for the meeting… → Because SOSP and its sibling OSDI both…
  • Reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing
  • SKILL.md covers The pipeline, Reading SOSP reviews, Confidentiality and integrity… and Calibrating expectations, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sosp Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response, the single-track PC meeting where every decision is argued live, notification, and shepherded acceptance outcomes.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing
  • Staged review rounds
  • PC-chair-audited conflicts
  • The pre-PC-meeting author response

Example prompts

  • “/sosp-review-process”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. A rejected paper with one strong champion review is often a revise-and-retarget
  2. Reviews written for the meeting compress; a terse negative review may encode a
  3. Because SOSP and its sibling OSDI both now run annually, the cost of a rejection

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sosp Review Process loads about 1.3k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 561 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 561 words, ~1,259 tokens.

Download SKILL.mdSave it as .claude/skills/sosp-review-process/SKILL.md (or your agent's skills folder).
name
sosp-review-process
description
Use when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response, the single-track PC meeting where every decision is argued live, notification, and shepherded acceptance outcomes.

SOSP Review Process

Use this to model what happens to a SOSP paper between the April upload and the July decision, and to time author-side actions to the phases that actually move outcomes. Anchors below are from the 2026-cycle CFP and the sosp26.hotcrp.com schedule (checked 2026-07-08): submission April 2026, author response ahead of the PC meeting, notification July 3, 2026.

The pipeline

PhaseWho actsWhat authors can do
Conflict screening (from abstract registration)PC chairs audit declared conflicts, add or remove entriesDeclare defensibly; chairs treat strategic conflicts as misconduct-adjacent
Early reviewingA subset of the PC reads every paperNothing — the paper speaks alone
Later-round reviewingPapers still alive draw additional, often more senior, reviewsNothing; round structure and counts vary by year (待核实 per cycle)
Author responseAuthors correct factual errors, answer posed questionsThe one sanctioned intervention (see sosp-author-response)
PC meetingFull committee discusses candidates live, single trackNothing — but the response was written for this room
Decision + shepherd assignmentChairs notify July 3; accepted papers get a shepherding PC memberCamera-ready planning begins (see sosp-camera-ready)

Two structural facts do most of the explanatory work. First, reviewing is staged: a paper that reads as unsound in the first pass never reaches the reviewers most likely to appreciate a subtle contribution, so the opening pages must survive a skeptical fast read (see sosp-writing-style). Second, decisions are made in a meeting, not by score averaging: one convinced advocate who can defend the paper against live objections beats four mildly positive scores.

Reading SOSP reviews

Systems reviews concentrate their weight in predictable places:

  • Soundness attacks ("the evaluation doesn't isolate the claimed mechanism", "this workload can't show the tail behavior claimed") are the score-drivers. Address these first in any response.
  • Positioning complaints ("how is this different from X at OSDI two years ago") signal a related-work gap the meeting will replay (see sosp-related-work).
  • Taste judgments ("incremental", "not SOSP-worthy") rarely change through argument; they change when an advocate reframes the paper's principle at the meeting — which your response can quietly arm with one crisp sentence.
text
Post-review triage sheet (fill before drafting anything)

For each review R1..Rn:
  overall lean:        champion / positive / neutral / negative / kill
  score-driving issue: <one sentence>
  type:                factual error | missed content | posed question | judgment
  response-eligible?:  yes (types 1-3) / no (type 4)
Meeting risk:          <the objection an advocate could not answer alone>
Show full SKILL.md (217 more words)Show less

Confidentiality and integrity edges

  • Reviews and PC discussion are confidential; reviewers are anonymous forever, and guessing at reviewer identity in the response reads badly (reviews are anonymous in both directions).
  • Double-blind holds until notification. Do not advertise the submission where PC members will see it; the CFP's anonymization duty does not lapse after upload.
  • HotCRP is the channel of record. Deadline-adjacent questions go to the PC chairs through it, not to PC members you happen to know — that is a conflict violation in a culture that audits conflicts.

Calibrating expectations

SOSP is a low-acceptance venue where most submissions are competent; rejections routinely carry reviews that would be accepts elsewhere. Per-year submission counts and acceptance rates are published with each program (待核实 for 2026 until the program appears; cross-check dl.acm.org/conference/sosp and dblp for history). Practical consequences of the meeting-centric model:

  1. A rejected paper with one strong champion review is often a revise-and-retarget candidate for the next systems deadline, not a redesign candidate.
  2. Reviews written for the meeting compress; a terse negative review may encode a long live discussion. Mine every sentence — each one survived an argument.
  3. Because SOSP and its sibling OSDI both now run annually, the cost of a rejection is measured in months, not years (see sosp-workflow for the retargeting map).

Output format

text
[Phase] where the paper sits in the pipeline now
[Review map] per-review lean + score-driving issue + response eligibility
[Meeting risk] the one live objection to defuse
[Action] respond / wait / prepare retarget
[Integrity check] anonymity holds? all contact via HotCRP?

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in SOSP-Skills/skills/sosp-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sosp Review Process next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sosp Review Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sosp Review Process this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
Deepseek Reasonruvnet/ruflo74k—~626Automated safety check: NotesMIT
EvaluatorsArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence

Similar skills

  • Arize Evaluator

    github/awesome-copilot

    Official

    Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…

    40k GitHub starsUsed in 1 repo~8.1k tokens
    AI & LLM EngineeringAuto-check: notes
  • LLM Evaluation

    davila7/claude-code-templates

    Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

    33k GitHub starsUsed in 12 repos~3.5k tokens
    AI & LLM EngineeringAuto-check passed
  • Agent Evaluation

    sickn33/agentic-awesome-skills

    Evaluate agent behavior with versioned cases and explicit verifiers.

    47k GitHub starsUsed in 1 repo~2k tokens
    Agent WorkflowsAuto-check passed
  • Deepseek Reason

    ruvnet/ruflo

    Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.

    74k GitHub stars~626 tokensUpdated today
    AI & LLM EngineeringAuto-check: notes
  • Evaluators

    Arize-ai/phoenix

    Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output.

    12k GitHub stars~1.7k tokensUpdated today
    EducationAuto-check passed
  • Agent Evaluation Reporting

    sickn33/agentic-awesome-skills

    A skill your agent uses when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

    47k GitHub starsUsed in 1 repo~2.1k tokens
    Agent WorkflowsAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Questions about Sosp Review Process

What does Sosp Review Process do?

A skill your agent uses when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response…. Sosp Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing, staged review rounds, PC-chair-audited conflicts, the pre-PC-meeting author response, the single-track PC meeting where every decision is argued live, notification, and shepherded acceptance outcomes.

When should I use Sosp Review Process?

Sosp Review Process fits situations like: reasoning about how a SOSP submission is evaluated — double-blind HotCRP reviewing; staged review rounds; PC-chair-audited conflicts; the pre-PC-meeting author response.

How do I install Sosp Review Process in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-review-process -a claude-code`. Or copy the skill folder (SOSP-Skills/skills/sosp-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sosp-review-process in your project. Claude Code loads it when a task matches its description.

How do I install Sosp Review Process in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-review-process -a codex`. Or copy the skill folder (SOSP-Skills/skills/sosp-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sosp-review-process in your project. Codex loads it when a task matches its description.

Can I use Sosp Review Process in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sosp-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sosp-review-process, .gemini/skills/sosp-review-process, .github/skills/sosp-review-process and .opencode/skills/sosp-review-process in your project.

What does Sosp Review Process need to run?

SKILL.md names no scripts, command-line tools or credentials: Sosp Review Process is instructions for the agent only.

Does Sosp Review Process access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sosp Review Process safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sosp Review Process use?

Sosp Review Process is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sosp Review Process use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sosp Review Process?

Skills that share tags, products or a category with Sosp Review Process: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Deepseek Reason (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sosp Review Process?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.